activity
20242026
most citedBinary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Self-reflection in Automated Qualitative Coding: Improving Text Annotation through Secondary LLM Critique

Zackary Okun Dunivin, Mobina Noori, Seth Frey +1

Large language models (LLMs) allow for sophisticated qualitative coding of large datasets, but zero- and few-shot classifiers can produce an intolerable number of errors, even with…

cs.AI2025

KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures

Mohammad Reza Shafie, Morteza Hajiabadi, Hamed Khosravi +2

Microbial Fuel Cells (MFCs) offer a promising pathway for sustainable energy generation by converting organic matter into electricity through microbial processes. A key factor infl…

cs.CL2025

A Human Behavioral Baseline for Collective Governance in Software Projects

Mobina Noori, Mahasweta Chakraborti, Amy X Zhang +1

We study how open source communities describe participation and control through version controlled governance documents. Using a corpus of 710 projects with paired snapshots, we pa…

cs.CY2025

Patterns in the Transition From Founder-Leadership to Community Governance of Open Source

Mobina Noori, Mahasweta Chakraborti, Amy X Zhang +1

Open digital public infrastructure needs community management to ensure accountability, sustainability, and robustness. Yet open-source projects often rely on centralized decision-…

stat.AP2024★ 3 cited

Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease

Hamed Khosravi, Milad Khanchi, Mobina Noori +3

Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for…